RafayAK

NothingButNumPy

This repo is part of a series of blog post titled "Nothing but NumPy"

openvpn-cloud-connector

Docker container to encapsulate OpenVPN Cloud Connector for easy deployment.

CodingPrep

Repo for storing all the coding questions I slove.

RBF

repo for Resting Bitch Face detector

Simple-AI-Projects

A collection of projects that use AI in some meaningful way

awesome-egocentric-vision

A curated list of egocentric (first-person) vision and related area resources

CMake

Mirror of CMake upstream repository

course-v3

The 3rd edition of course.fast.ai

DailyCodingProblem

Daily Coding Problem java solutions

deep-rl-class

This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.

deskreen

Deskreen turns any device with a web browser into a secondary screen for your computer

dlib

A toolkit for making real world machine learning and data analysis applications in C++

gnome-rdp-virtual-monitor

HandObjectSeg

This repository contians production ready models to perform hadn+object segmentation.

ho3d

A dataset for pose estimation of hand when interacting with object and severe occlusions.

Learn_Deep_Learning_in_6_Weeks

This is the Curriculum for "Learn Deep Learning in 6 Weeks" by Siraj Raval on Youtube

light-weight-refinenet

Light-Weight RefineNet for Real-Time Semantic Segmentation

lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

Machine-Learning-Study-Path-March-2019

A complete ML study path, focused on TensorFlow and Scikit-Learn

modern-cpp-features

A cheatsheet of modern C++ language and library features.

modern_cpp

This Repo Contains all the course work from Modern C++ http://www.ipb.uni-bonn.de/teaching/modern-cpp/

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

RL-stuff

Reinforcement Learning

SICP

Solved exercises from the book "Structure and Interpretation of Computer Programs"

Softmax_Neural_Network

A modular neural network with a modular softmax layer

StanfordMachineLearning

This repo contains all the exercises from the Andrew Ng's Stanford ML course on coursera

TensorFlow_FashionMNIST

Implementation of the tensorflow tutorial using Fashion MNIST dataset

Tutorials

Code for all my tutorials